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)
622
An ordered pair of sets G = (V, E) where V is a
nonempty finite set and E consisting of 2‐element
subsets of elements of V is called a graph. It is
denotedbyG=(V,E).Viscalledvertexandedgeset
respectively. The elements in
V and E are called
vertices and edges respectively. If elements of E are
ordered pairs, then G is called a directed graph or
digraph. The vertices between which an edge exists
are called endpoints of the edge. An edge whose
endpoints are the same is called a loop. A
graph
withoutloopsiscalledasimplegraph.
Foragivensourcevertex(node)inthegraph,the
algorithm finds the path with lowest cost (ie the
shortest path) between that vertex and every other
vertex.Itcanalsobeusedforfindingtheshortestcost
path from one vertex to
a destination vertex by
stoppingthealgorithmisdeterminedbytheshortest
path to the destination node. For example, if the
vertices of the graph represent the city and are the
costs of running paths edge distances between pairs
of cities connected directly to the road, Dijkstraʹs
algorithm can
be used to find the shortest route
betweenonecityandallothercities.Asaresult,the
shortest path algorithm is widely used routing
protocols in a network, in particular the IS‐IS and
OpenShortestPathFirst.(Neumann,2014)
Short characteristic of Dijsktra algorithm
(Neumann,2016a).
Theinputofthealgorithmconsistsofaweighted
directedgraphGandasourcevertexsinG
DenoteVasthesetofallverticesinthegraphG.
Each edge of the graph is an ordered pair of
vertices(u,v)
This representing a connection from vertex u to
vertexv
ThesetofalledgesisdenotedE
Weights of edges are given by a weight function
w:E → [0,∞)
Therefore w(u,v) is the cost of moving directly
fromvertexutovertexv
The cost of an edge can be thought of as (a
generalizationof)thedistancebetweenthosetwo
vertices
Thecostofapathbetweentwoverticesisthesum
ofcostsoftheedgesinthatpath
For a given pair of vertices s and t in V, the
algorithm finds the path from s to t with lowest
cost(i.e.theshortestpath)
It can also be used for finding costs of shortest
pathsfromasinglevertexstoallotherverticesin
thegraph.
Figure4.Dijkstrasalgorithmontreegraph
The Dempster‐Shafer and Dijkstra algorithms are
well known. The Dijjksta algorithm was first
published almost a half a century ago. To this day,
findingconnectionsbetweenverticesisused.Butnot
alwaystheshortestpathisthebest. Itisto consider
various
criteria. This paper is an introduction to
furtherresearch.
In this study was developed a model of the ship
routing network that solves problems optimal path
using a modified version of Dijkstraʹs shortest path
algorithm and the ba sic function of the reaction
vessel.Wasestablishedfidelitymodelsbytesting.
As
you can see, the model avoids the adverse weather
conditions and solves the path of least time to your
destination.Itcalculatestheusefultime,distance,fuel
consumption and metrics to quantify routing
decisions. All calculations was made by intervals.
(Neumann,2015)
7 CONCLUSIONS
The proliferation of modern electronics systems
is
already exaction the duration for user input and
superintendencesystems.Telematics willberequisite
tostaythe development multitudeofuser‐selectable
input attendant and points within the vehicle. As
carriage come more complicated they will
increasingly confide on telematics and driver notice
systemsthatwillcometheuser
interfacetobothon‐
board and off board enlightenment. Government
commission and homogenous actions are already
composednecessarilyfortelematicssystems.Hands‐
freemobilephonecommissionaregrowthfastdueto
driverfuriousnessegress.Itisprobablethatlow‐end
telematics with a harangue user interface and radio
system integration will
come the elect solutions. ITS
willenlarge in adulteration over the next decennary
andwillincreasinglyneedtelematicscapabilities.As
huge as the self‐propelled telematics hardware and
benefit opportunities may be, the circuitous benefits
effectual from the worth of telematics data may be
alike essential. The circuitous telematics benefits
softenthelocomotiveassurancediligence,healthcare
providers,generalsafenessagencies andmanyother
industries. The price savings, price annulment and
amended functional efficiencies external the
telematics assiduity will be graduated in 15 to 20
years.(Juliussen,2003)
REFERENCES
Bekiaris, E., Nakanishi, Y., 2004. Economic impact of
intelligent transportation systems: innovation and case
study.
Boominathan, P., Kanchan, A., 2014. Routing Planning As
AnApplicationOf GraphTheory.International journal
ofscientific&technologyresearch3,61–66.
Chang, S.‐H., Fan, C.‐Y., 2016. Identification of the
technology life cycle of
telematics: A patent‐based
analytical perspective. Technological Forecasting and
Social Change 105, 1–10.
https://doi.org/10.1016/j.techfore.2016.01.023
Chen, A., Jain, N., Perinola, A., Pietraszek, T., Rooney, S.,
Scotton, P., 2004. Scaling real‐time telematics
applications using programmable middleboxes: a case
study in traffic prediction, in: First IEEE Consumer
Communications and Networking Conference, 2004.
CCNC 2004. Presented at the First IEEE Consumer
Communications and Networking Conference, 2004.